Review on Convolutional Neural Networks (CNN) in vegetation remote sensing
Identifying and characterizing vascular plants in time and space is required in various
disciplines, eg in forestry, conservation and agriculture. Remote sensing emerged as a key …
disciplines, eg in forestry, conservation and agriculture. Remote sensing emerged as a key …
A review of point clouds segmentation and classification algorithms
Today 3D models and point clouds are very popular being currently used in several fields,
shared through the internet and even accessed on mobile phones. Despite their broad …
shared through the internet and even accessed on mobile phones. Despite their broad …
Structure from motion photogrammetry in physical geography
Accurate, precise and rapid acquisition of topographic data is fundamental to many sub-
disciplines of physical geography. Technological developments over the past few decades …
disciplines of physical geography. Technological developments over the past few decades …
Smartphone assisted fieldwork: Towards the digital transition of geoscience fieldwork using LiDAR-equipped iPhones
Major advances in smartphones and tablets in terms of their built-in sensors (esp. cameras),
available computational power and on-board memory are transforming the role of such …
available computational power and on-board memory are transforming the role of such …
Semantic point cloud interpretation based on optimal neighborhoods, relevant features and efficient classifiers
Abstract 3D scene analysis in terms of automatically assigning 3D points a respective
semantic label has become a topic of great importance in photogrammetry, remote sensing …
semantic label has become a topic of great importance in photogrammetry, remote sensing …
Accurate 3D comparison of complex topography with terrestrial laser scanner: Application to the Rangitikei canyon (NZ)
Surveying techniques such as terrestrial laser scanner have recently been used to measure
surface changes via 3D point cloud (PC) comparison. Two types of approaches have been …
surface changes via 3D point cloud (PC) comparison. Two types of approaches have been …
Using unmanned aerial vehicles (UAV) for high-resolution reconstruction of topography: The structure from motion approach on coastal environments
The availability of high-resolution Digital Surface Models of coastal environments is of
increasing interest for scientists involved in the study of the coastal system processes …
increasing interest for scientists involved in the study of the coastal system processes …
UAV data as alternative to field sampling to map woody invasive species based on combined Sentinel-1 and Sentinel-2 data
Invasive plant species can pose major threats to biodiversity, ecosystem functioning and
services. Satellite based remote sensing has evolved as an important technology to spatially …
services. Satellite based remote sensing has evolved as an important technology to spatially …
Fast semantic segmentation of 3D point clouds with strongly varying density
We describe an effective and efficient method for point-wise semantic classification of 3D
point clouds. The method can handle unstructured and inhomogeneous point clouds such …
point clouds. The method can handle unstructured and inhomogeneous point clouds such …
[HTML][HTML] Machine learning-based classification of rock discontinuity trace: SMOTE oversampling integrated with GBT ensemble learning
This paper presents a hybrid ensemble classifier combined synthetic minority oversampling
technique (SMOTE), random search (RS) hyper-parameters optimization algorithm and …
technique (SMOTE), random search (RS) hyper-parameters optimization algorithm and …